Model comparison
Mistral Large 3 vs Qwen1.5-14B
Mistral Large 3 is the stronger model overall, scoring 38.6 to 32.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Mistral Large 3 scores higher in 7 categories and Qwen1.5-14B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 3 leads 60.2 to 33.7.
Side by side
| Mistral Large 3 | Qwen1.5-14B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 32.1 |
| Released | 2025-12-02 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.75 | — |
| Results tracked | 24 | 17 |
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Category by category
Coding Mistral Large 3 leads
Mistral Large 3: 34.1 (#230), Qwen1.5-14B: 32.5 (#259)
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1447 | 1138 |
| LMArena WebDev | 1230 | — |
Reasoning Qwen1.5-14B leads
Mistral Large 3: 14.6 (#314), Qwen1.5-14B: 20.5 (#217)
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1113 |
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Thematic Generalization | 23% | — |
Math Mistral Large 3 leads
Mistral Large 3: 36.0 (#131), Qwen1.5-14B: 29.9 (#214)
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1415 | 1125 |
Knowledge Mistral Large 3 leads
Mistral Large 3: 35.5 (#173), Qwen1.5-14B: 29.3 (#230)
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1421 | 1094 |
| Vectara Hallucination Rate | 14.5% | — |
| MMLU | — | 68.6% |
Multimodal Not comparable
Mistral Large 3: 37.6 (#65), Qwen1.5-14B: —
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Vision | 1222 | — |
Multilingual Mistral Large 3 leads
Mistral Large 3: 52.6 (#79), Qwen1.5-14B: 30.8 (#257)
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1412 | 1095 |
| LMArena Chinese | 1448 | 1147 |
| LMArena French | 1456 | 1115 |
| LMArena German | 1438 | 1043 |
| LMArena Japanese | 1399 | 1019 |
| LMArena Russian | 1412 | 1046 |
| LMArena Spanish | 1437 | 1085 |
| LMArena Korean | 1384 | — |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.1 (#104), Qwen1.5-14B: 57.1 (#266)
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1402 | 1102 |
Long Context Mistral Large 3 leads
Mistral Large 3: 43.1 (#102), Qwen1.5-14B: 33.7 (#252)
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1413 | 1113 |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.2 (#100), Qwen1.5-14B: 33.7 (#270)
| Benchmark | Mistral Large 3 | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1427 | 1128 |
| LMArena Creative Writing | 1385 | 1091 |
| LMArena Multi-Turn | 1429 | 1110 |
| EQ-Bench Creative Writing | 1412 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen1.5-14B?
Mistral Large 3 is the stronger model overall, scoring 38.6 to 32.1 on the Noometry Index.
Is Mistral Large 3 or Qwen1.5-14B better for coding?
Mistral Large 3 scores higher on coding benchmarks: 34.1 versus 32.5 in the Noometry coding category.
How many benchmarks do Mistral Large 3 and Qwen1.5-14B share?
16 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen1.5-14B has 17.